Question: Instructions Run and interpret a correlation analysis using SPSS using the information provided and use the 6-step hypothesis testing process to determine if the relationship
Instructions
Run and interpret a correlation analysis using SPSS using the information provided and use the 6-step hypothesis testing process to determine if the relationship between two variables.
A manager is interested in studying the associations between several variables. These variables are age, years of experience, level of education, engagement, job satisfaction, and performance level. She thinks that employees with more years of experience are more engaged and satisfied. She thinks that younger employees will perform at a higher level, on average.
- State the null and alternative hypotheses sets. (Note, there will be 3 sets)
- Select the significance level.
- Select the test statistics and calculate its value.
- Identify critical values for the test statistics and state the decision rule concerning when to reject or fail to reject the null hypothesis.
- Compare the calculated and critical values to conclude the null hypothesis.
- Explain the related business decision.
Explain the data with the following:
- Hypotheses
- Results of the analysis
- Did the analysis support each of the hypotheses?
- Explain what decisions the manager might make using these findings.
| Age | Experience | Education | Engagement | Satisfaction | Performance | |
| 31.00 | 6.00 | 2.00 | 2.00 | 2.00 | 3.00 | |
| 47.00 | 14.00 | 3.00 | 4.00 | 4.00 | 4.00 | |
| 39.00 | 13.00 | 3.00 | 2.00 | 2.00 | 2.00 | |
| 29.00 | 8.00 | 2.00 | 2.00 | 3.00 | 3.00 | |
| 41.00 | 6.00 | 1.00 | 4.00 | 4.00 | 5.00 | |
| 49.00 | 15.00 | 2.00 | 3.00 | 4.00 | 4.00 | |
| 29.00 | 5.00 | 2.00 | 3.00 | 4.00 | 5.00 | |
| 47.00 | 15.00 | 2.00 | 3.00 | 3.00 | 5.00 | |
| 31.00 | 3.00 | 2.00 | 4.00 | 2.00 | 2.00 | |
| 34.00 | 10.00 | 1.00 | 1.00 | 2.00 | 3.00 | |
| 29.00 | 8.00 | 2.00 | 4.00 | 5.00 | 4.00 | |
| 29.00 | 9.00 | 3.00 | 2.00 | 3.00 | 5.00 | |
| 35.00 | 2.00 | 1.00 | 2.00 | 3.00 | 1.00 | |
| 40.00 | 11.00 | 1.00 | 4.00 | 4.00 | 5.00 | |
| 27.00 | 8.00 | 3.00 | 5.00 | 2.00 | 1.00 | |
| 38.00 | 12.00 | 1.00 | 2.00 | 3.00 | 2.00 | |
| 29.00 | 9.00 | 2.00 | 5.00 | 5.00 | 5.00 | |
| 43.00 | 15.00 | 3.00 | 2.00 | 2.00 | 2.00 | |
| 25.00 | 9.00 | 3.00 | 4.00 | 3.00 | 4.00 | |
| 35.00 | 14.00 | 2.00 | 5.00 | 4.00 | 5.00 | |
| 36.00 | 1.00 | 1.00 | 5.00 | 5.00 | 5.00 | |
| 25.00 | 4.00 | 1.00 | 4.00 | 4.00 | 3.00 | |
| 42.00 | 12.00 | 3.00 | 4.00 | 5.00 | 4.00 | |
| 32.00 | 10.00 | 1.00 | 5.00 | 4.00 | 5.00 | |
| 40.00 | 11.00 | 2.00 | 4.00 | 4.00 | 4.00 | |
| 50.00 | 15.00 | 1.00 | 5.00 | 5.00 | 4.00 | |
| 28.00 | 8.00 | 3.00 | 1.00 | 2.00 | 2.00 | |
| 26.00 | 7.00 | 1.00 | 5.00 | 5.00 | 4.00 | |
| 36.00 | 4.00 | 2.00 | 1.00 | 1.00 | 1.00 | |
| 47.00 | 12.00 | 3.00 | 2.00 | 1.00 | 2.00 |
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